Merge pull request #318 from opendr-eu/merge_master_into_develop

merge `master` into `develop`

.github/workflows/test_packages.yml

@@ -106,6 +106,6 @@ jobs:
         python-version: 3.8
     - name: Test Docker
       run: |
-        docker run --name toolkit -i opendr/opendr-toolkit:cpu_latest bash
+        docker run --name toolkit -i opendr/opendr-toolkit:cpu_v1.1.1 bash
         docker start toolkit
         docker exec -i toolkit bash -c "source bin/activate.sh && source tests/sources/tools/control/mobile_manipulation/run_ros.sh && python -m unittest discover -s tests/sources/tools/${{ matrix.package }}"

docs/reference/face-detection-2d-retinaface.md

@@ -175,7 +175,7 @@ Parameters:
   The WIDER Face detection dataset is supported for training, implemented as a `DetectionDataset` subclass. This example assumes the data has been downloaded and placed in the directory referenced by `data_root`.
 
   ```python
-  from opendr.perception.object_detection_2d import YOLOv3DetectorLearner
+  from opendr.perception.object_detection_2d import RetinaFaceLearner, WiderFaceDataset
   from opendr.engine.datasets import ExternalDataset
 
   dataset = WiderFaceDataset(root=data_root, splits=['train'])
@@ -246,4 +246,4 @@ The platform compatibility evaluation is also reported below:
 #### References
 <a name="retinaface-1" href="https://arxiv.org/abs/1905.00641">[1]</a> RetinaFace: Single-stage Dense Face Localisation in the Wild,
 [arXiv](https://arxiv.org/abs/1905.00641).
-
+

docs/reference/installation.md

@@ -123,18 +123,18 @@ source bin/activate.sh
 If you want to display GTK-based applications from the Docker container (e.g., visualize results using OpenCV `imshow()`), then you should mount the X server socket inside the container, e.g.,
 ```bash
 xhost +local:root
-sudo docker run -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY opendr/opendr-toolkit:cpu_latest /bin/bash
+sudo docker run -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY opendr/opendr-toolkit:cpu_v1.1.1 /bin/bash
 ```
 
 ## GPU docker
 If you want to use a CUDA-enabled container please install [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).
 Then, you can directly run the latest image with the command:
 ```bash
-sudo docker run --gpus all -p 8888:8888 opendr/opendr-toolkit:cuda_latest
+sudo docker run --gpus all -p 8888:8888 opendr/opendr-toolkit:cuda_v1.1.1
 ```
 or, for an interactive session:
 ```bash
-sudo docker run --gpus all -it opendr/opendr-toolkit:cuda_latest /bin/bash
+sudo docker run --gpus all -it opendr/opendr-toolkit:cuda_v1.1.1 /bin/bash
 ```
 In this case, do not forget to enable the virtual environment with:
 ```bash